{"id":8057,"date":"2025-11-03T07:02:29","date_gmt":"2025-11-03T07:02:29","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/11\/03\/mobilenetv3-paper-walkthrough-the-tiny-giant-getting-even-smarter\/"},"modified":"2025-11-03T07:02:29","modified_gmt":"2025-11-03T07:02:29","slug":"mobilenetv3-paper-walkthrough-the-tiny-giant-getting-even-smarter","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/11\/03\/mobilenetv3-paper-walkthrough-the-tiny-giant-getting-even-smarter\/","title":{"rendered":"MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even\u00a0Smarter"},"content":{"rendered":"<p>    MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even\u00a0Smarter<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>MobileNetV3 with PyTorch\u200a \u2014 \u200anow featuring SE blocks and hard activation functions<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/mobilenetv3-paper-walkthrough-the-tiny-giant-getting-even-smarter\/\">MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even\u00a0Smarter<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Muhammad Ardi<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/mobilenetv3-paper-walkthrough-the-tiny-giant-getting-even-smarter\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even\u00a0Smarter MobileNetV3 with PyTorch\u200a \u2014 \u200anow featuring SE blocks and hard activation functions The post MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even\u00a0Smarter appeared first on Towards Data Science. Muhammad Ardi Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,69,67,88,70,1780,75],"tags":[3701,691,3702],"class_list":["post-8057","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-artificial-intelligence","category-deep-dives","category-deep-learning","category-machine-learning","category-neural-network","category-pytorch","tag-mobilenetv","tag-paper","tag-walkthrough"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8057"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=8057"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8057\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=8057"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=8057"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=8057"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}